Predictive Analytics Engineer

Socket.dev; Dallas (TX); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid

Competitive salary

Opportunity for advancement

Job summary

Socket.dev in Dallas, TX is seeking a Data Scientist to join our analytics team in a hybrid role. You will build predictive models, transform complex data into actionable insights, and collaborate with product, engineering, and business stakeholders to drive data‑driven decisions.

The ideal candidate has 2+ years in data science, strong Python or R skills, SQL, and ML frameworks such as Scikit‑Learn, TensorFlow, and PyTorch, plus data visualization with Tableau or Power BI.

Qualifications

• 2+ years of professional data science experience.
• Strong Python or R programming skills.
• Advanced SQL for querying complex relational databases.
• Hands-on experience with ML frameworks: Scikit-Learn, TensorFlow, PyTorch.
• Experience with data visualization tools such as Tableau or Power BI.
• Ability to translate data into actionable business insights.

Responsibilities

• Collect, clean, and integrate data from multiple sources.
• Build, train, validate, and deploy ML models for predictive analytics.
• Design and execute A/B tests and experiments to optimize products.
• Develop dashboards and reports to monitor KPIs and performance.
• Explore data to identify trends, patterns, and opportunities.
• Present findings to technical and non-technical stakeholders.
• Collaborate with Product, Engineering, Marketing, and Business Operations.
• Optimize data science workflows and model performance.
• Ensure data quality and governance throughout analytics lifecycle.

Skills

Python

R

SQL

ML frameworks

Data visualization

Communication

Collaborative teamwork

Education

Bachelor’s or Master’s in CS/DS/Stats/Math/Analytics

Tools

Scikit-Learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

Benefits

• HYBRID
• Competitive salary
• Opportunity for advancement

Data Scientist / Predictive Analytics Engineer

Location: Dallas, TX (Hybrid, 3 days onsite per week)

Employment Type: Full-Time / Contract (W2)

Duration: Long-Term

Work Authorization: Open to candidates authorized to work in the U.S.

Interview Process: Video Interview followed by Client Interview

We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.

The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.

will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.

Key Responsibilities

• Collect, clean, and integrate structured and unstructured data from multiple sources.
• Build, train, validate, and deploy machine learning models for predictive analytics.
• Design and execute A/B testing and statistical experiments to optimize products and business processes.
• Develop automated dashboards and reports to monitor KPIs and business performance.
• Perform exploratory data analysis to identify trends, patterns, and opportunities.
• Present analytical findings and recommendations to technical and non-technical stakeholders.
• Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
• Optimize existing data science workflows and improve model performance.
• Ensure data quality, governance, and best practices throughout the analytics lifecycle.

Required Skills

• 2+ years of professional experience as a Data Scientist.
• Strong programming skills in Python or R.
• Advanced SQL skills with experience querying complex relational databases.
• Hands-on experience with machine learning frameworks such as:
• Scikit-Learn
• TensorFlow
• PyTorch
• Experience with statistical modeling, predictive analytics, and feature engineering.
• Strong understanding of:
• Regression Analysis
• Hypothesis Testing
• Probability & Statistics
• Experience with data visualization tools such as:
• Tableau
• Power BI
• Matplotlib
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data pipelines, ETL processes, and big data technologies.
• Experience with MLOps, model deployment, and monitoring is a plus.
• Familiarity with version control systems such as Git.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.

Why Join Us?

• Work on impactful machine learning and AI initiatives.
• Hybrid work environment in Dallas, TX.
• Collaborative, data-driven culture.
• Opportunity to work with modern analytics and cloud technologies.
• Competitive compensation and career growth opportunities.
• Flexible work from home options available.